dawnlh / awesome-low-light-image-enhancement Goto Github PK
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This is a resouce list for low light image enhancement
Could you please add this work :
Glow in the Dark: Low-Light Image Enhancement with External Memory
Published in TMM, 2023
note: EMNet
paper: https://ieeexplore.ieee.org/document/10177254
Code: https://github.com/Lineves7/EMNet
Thank you very much.
Thanks for your awesome repo! Could you please add our ICCV23 work? This is a low-light enhancement work with NeRF:
Title: Lighting up NeRF via Unsupervised Decomposition and Enhancement
Published in ICCV 2023
Name: LLNeRF
Arxiv: https://arxiv.org/abs/2307.10664
Code: https://github.com/onpix/LLNeRF
Hi,
Could you please add this work :
TreEnhance: A tree search method for low-light image enhancement
Published in Pattern Recognition
https://www.sciencedirect.com/science/article/abs/pii/S0031320322007282?via%3Dihub
Code: https://github.com/OcraM17/TreEnhance
Please add this paper.
S. K. Panda and P. K. Sa, "Integrating Graph Convolution Into a Deep Multilayer Framework for Low-Light Image Enhancement," in IEEE Sensors Letters, vol. 8, no. 5, pp. 1-4, May 2024, Art no. 7002404, doi: 10.1109/LSENS.2024.3380889.
The Github link is https://github.com/santoshpanda1995/LightweightGCN-Model
The paper link is https://doi.org/10.1109/LSENS.2024.3380889
Could you please add this work :
CLE Diffusion: Controllable Light Enhancement Diffusion Model
Published in ACMMM 2023
note: CLE Diffusion
paper: https://arxiv.org/abs/2308.06725
Code: https://github.com/YuyangYin/CLEDiffusion
Web:https://yuyangyin.github.io/CLEDiffusion/
Thank you very much.
Thank you for listing down all the papers in your awesome repo! Could you please add our IEEE Transactions on Cybernetics -2023 work? This is an exposure enhancement work in poor illumination conditions with a MultiRetinex loss function.
Title: Deep Perceptual Image Enhancement Network for Exposure Restoration
Published in IEEE Transactions on Cybernetics -2023
Name: DPIENet
Open Source Link: https://ieeexplore.ieee.org/document/9693338
Hi ,I run the function of amsr.m
but the result of the image is brightness reversal.
You can use the "memorial.hdr" to run you will find this.
Thanks for your great contribution. Could you please add this work :
Title: Low-light Image Enhancement with Wavelet-based Diffusion Models
Published in SIGGRAPH ASIA 2023
Name: DiffLL
Arxiv version: https://arxiv.org/pdf/2306.00306.pdf
Code: https://github.com/JianghaiSCU/Diffusion-Low-Light
Thank you very much.
The url for paper TSDN is wrong here:
correct url for TSDN:
https://ieeexplore.ieee.org/abstract/document/10168136
Hi Zhihong,
Could you please add the code for "ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement, ACM MM 2022"
This is the GitHub link code
Many Thanks~
Hello, how does MSR output the light map? In the multiscaleRetinex (I, method, varargin) method, is the light map directly output with OUT=T in SSlog?
Low-Light Video Enhancement with Synthetic Event Guidance (AAAI), 2023
Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian
Thank you so much!
Thanks for your really awesome repo! Could you please add our AAAI 2024 work?
This is low-light enhancement & exposure correction + NeRF
Title: Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption
Published in AAAI 2024
Name: Aleth-NeRF
Code: https://github.com/cuiziteng/Aleth-NeRF
Website: https://cuiziteng.github.io/Aleth_NeRF_web/
Thanks for your great contribution. Could you please add this work :
Title: Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
Published in ICCV 2023
Name: Retinexformer
Arxiv: https://arxiv.org/abs/2303.06705
Code: https://github.com/caiyuanhao1998/Retinexformer
Thank you very much.
Thanks for your really awesome repo! Could you please add our PRICAI 2023 work?
This is low-light enhancement by diffusion + DCE
Title: Bootstrap diffusion model curve estimation for high resolution low-light image enhancement
Published in PRICAI 2023
Name: BDCE
Hello,
I am interested in using the resources listed in this repository for my research. Could you please provide information about the license under which this repository and the associated datasets are distributed?
Thank you.
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